702 search results - page 28 / 141 » Learning Probabilistic Models of Relational Structure |
65
Voted
KDD
2005
ACM
16 years 26 days ago
2005
ACM
In several organizations, it has become increasingly popular to document and log the steps that makeup a typical business process. In some situations, a normative workflow model o...
82
Voted
IJCAI
2001
15 years 1 months ago
2001
We study the application of Hidden Markov Models (HMMs) to learning information extractors for
109
Voted
ICALT
2006
IEEE
15 years 6 months ago
2006
IEEE
Proper reuse of learning objects depends both on the amount and quality of attached semantic metadata such as “learning objective”', “related concept”, etc. Manually ...
195
Voted
ENTCS
2006
15 years 14 days ago
2006
We investigate the construction of linear operators representing the semantics of probabilistic programming languages expressed via probabilistic transition systems. Finite transi...
104
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AAAI
2012
13 years 2 months ago
2012
Many noise models do not faithfully reflect the noise processes introduced during data collection in many real-world applications. In particular, we argue that a type of noise re...